Database applications frequently rely on “Dynamic SQL”—queries that are constructed at run-time through program logic. The LINQ infrastructure supports similar capabilities through dynamic construction of expression trees using the classes in the System.Linq.Expressions namespace. Expression trees are an appropriate abstraction for a variety of scenarios, but for others a string-based representation may be more convenient. The Dynamic Expression API extends the core LINQ API with that capability. The API is located in the Dynamic.cs source file and provides
· Dynamic parsing of strings to produce expression trees (the ParseLambda and Parse methods),
· Dynamic creation of “Data Classes” (the CreateClass methods), and
· Dynamic string-based querying through LINQ providers (the IQueryable extension methods).
The Dynamic Expression API relies on a simple expression language for formulating expressions and queries in strings.
The Dynamic Expression API is brought into scope by using (importing) the System.Linq.Dynamic namespace. Below is an example of applying the Dynamic Expression API to a LINQ to SQL data source.
var
query =
db.Customers.
Where("City
= @0 and Orders.Count >= @1", "London", 10).
OrderBy("CompanyName").
Select("new(CompanyName as Name, Phone)");
Note that expressions in the query are strings that could have been dynamically constructed at run-time.
The System.Linq.Dynamic.DynamicExpression class defines the following overloaded ParseLambda methods for dynamically parsing and creating lambda expressions.
public static LambdaExpression ParseLambda(
ParameterExpression[]
parameters, Type resultType,
string expression, params object[] values);
public static LambdaExpression ParseLambda(
Type argumentType,
Type resultType,
string expression, params object[] values);
public static Expression<Func<TArgument,
TResult>>
ParseLambda<TArgument,
TResult>(
string
expression, params object[] values);
The first ParseLambda overload parses a lambda expression with the given parameters and expression body and returns an Expression<Func<…>> instance representing the result. If the resultType parameter is non-null it specifies the required result type for the expression. The values parameter supplies zero or more substitution values that may be referenced in the expression.
ParameterExpression
x = Expression.Parameter(typeof(int), "x");
ParameterExpression
y = Expression.Parameter(typeof(int), "y");
LambdaExpression e
= DynamicExpression.ParseLambda(
new ParameterExpression[] { x, y }, null, "(x + y) *
2");
creates and assigns an Expression<Func<int, int, int>> instance to e representing the expression (x + y) * 2. If a required result type is specified, as in
LambdaExpression
e = DynamicExpression.ParseLambda(
new ParameterExpression[] { x, y }, typeof(double), "(x + y) *
2");
the parsing operation will include an implicit conversion to the given result type, in this case yielding an Expression<Func<int, int, double>> instance.
The second ParseLambda overload parses a lambda expression with a single unnamed parameter of a specified argumentType. This method corresponds to calling the first ParseLambda overload with a parameters argument containing a single ParameterExpression with an empty or null Name property.
When parsing a lambda expression with a single unnamed parameter, the members of the unnamed parameter are automatically in scope in the expression string, and the current instance given by the unnamed parameter can be referenced in whole using the keyword it. The example
LambdaExpression
e = DynamicExpression.ParseLambda(
typeof(Customer), typeof(bool),
"City = @0 and Orders.Count >= @1",
"London", 10);
creates and assigns an Expression<Func<Customer, bool>> instance to e. Note that City and Orders are members of Customer that are automatically in scope. Also note the use of substitution values to supply the constant values "London" and 10.
The third ParseLambda overload is a genericly typed version of the second overload. The example below produces the same Expression<Func<Customer, bool>> instance as the example above, but is statically typed to that exact type.
Expression<Func<Customer, bool>> e =
DynamicExpression.ParseLambda<Customer, bool>(
"City
= @0 and Orders.Count >= @1",
"London",
10);
The System.Linq.Dynamic.DynamicExpression class defines the following method for parsing and creating expression tree fragments.
public static Expression
Parse(Type resultType,
string expression,
params
object[] values);
The Parse method parses the given expression and returns an expression tree. If the resultType parameter is non-null it specifies the required result type of the expression. The values parameter supplies zero or more substitution values that may be referenced in the expression.
Unlike the ParseLambda methods, the Parse method returns an “unbound” expression tree fragment. The following example uses Parse to produce the same result as a previous example:
ParameterExpression
x = Expression.Parameter(typeof(int), "x");
ParameterExpression
y = Expression.Parameter(typeof(int), "y");
Dictionary<string,
object> symbols = new
Dictionary<string,
object>();
symbols.Add("x",
x);
symbols.Add("y",
y);
Expression body = DynamicExpression.Parse(null, "(x + y) *
2", symbols);
LambdaExpression e
= Expression.Lambda(
body, new ParameterExpression[] {
x, y });
Note the use of a Dictionary<string, object> to provide a dictionary of named substitution values that can be referenced in the expression.
Several methods in the Dynamic Expression API permit substitution values to be specified through a parameter array. Substitution values are referenced in an expression using identifiers of the form @x, where x is an index into the parameter array. The last element of the parameter array may be an object that implements IDictionary<string, object>. If so, this dictionary is used to map identifiers to substitution values during parsing.
An identifier that references a substitution value is processed as follows:
· If the value is of type System.Linq.Expressions.LambdaExpression, the identifier must occur as part of a dynamic lambda invocation. This allows composition of dynamic lambda expressions.
· Otherwise, if the value is of type System.Linq.Expressions.Expression, the given expression is substituted for the identifier.
· Otherwise, the Expression.Constant method is used to create a constant expression from the value which is then substituted for the identifier.
A data class is a class that contains only data members. The System.Linq.Dynamic.DynamicExpression class defines the following methods for dynamically creating data classes.
public static Type CreateClass(params DynamicProperty[] properties);
public static Type CreateClass(IEnumerable<DynamicProperty> properties);
The CreateClass method creates a new data class with a given set of public properties and returns the System.Type object for the newly created class. If a data class with an identical sequence of properties has already been created, the System.Type object for this class is returned.
Data classes implement private instance variables and read/write property accessors for the specified properties. Data classes also override the Equals and GetHashCode members to implement by-value equality.
Data classes are created in an in-memory assembly in the current application domain. All data classes inherit from System.Linq.Dynamic.DynamicClass and are given automatically generated names that should be considered private (the names will be unique within the application domain but not across multiple invocations of the application). Note that once created, a data class stays in memory for the lifetime of the current application domain. There is currently no way to unload a dynamically created data class.
The dynamic expression parser uses the CreateClass methods to generate classes from data object initializers. This feature in turn is often used with the dynamic Select method to create projections.
The example below uses CreateClass to create a data class with two properties, Name and Birthday, and then uses .NET reflection to create an instance of the class and assign values to the properties.
DynamicProperty[]
props = new DynamicProperty[] {
new DynamicProperty("Name",
typeof(string)),
new DynamicProperty("Birthday",
typeof(DateTime)) };
Type type = DynamicExpression.CreateClass(props);
object obj = Activator.CreateInstance(type);
t.GetProperty("Name").SetValue(obj, "Albert", null);
t.GetProperty("Birthday").SetValue(obj, new DateTime(1879,
3, 14), null);
Console.WriteLine(obj);
The System.Linq.Dynamic.DynamicQueryable class implements the following extension methods for dynamically querying objects that implement the IQueryable<T> interface.
public static IQueryable
Where(this IQueryable
source,
string predicate, params object[] values);
public static IQueryable<T>
Where<T>(this IQueryable<T>
source,
string predicate, params object[] values);
public static IQueryable
Select(this IQueryable
source,
string selector, params object[] values);
public static IQueryable OrderBy(this IQueryable source,
string ordering, params object[] values);
public static IQueryable<T>
OrderBy<T>(this
IQueryable<T> source,
string ordering, params object[] values);
public static IQueryable Take(this IQueryable source, int count);
public static IQueryable Skip(this IQueryable source, int count);
public static IQueryable GroupBy(this IQueryable source,
string keySelector,
string elementSelector,
params object[] values);
public static bool Any(this IQueryable source);
public static int Count(this IQueryable source);
These methods correspond to their System.Linq.Queryable counterparts, except that they operate on IQueryable instead of IQueryable<T> and use strings instead of lambda expressions to express predicates, selectors, and orderings. IQueryable is the non-generic base interface for IQueryable<T>, so the methods can be used even when T isn’t known on beforehand, i.e. when the source of a query is dynamically determined. (Note that because a dynamic predicate or ordering does not affect the result type, generic overloads are provided for Where and OrderBy in order to preserve strong typing when possible.)
The predicate, selector, ordering, keySelector, and elementSelector parameters are strings containing expressions written in the expression language. In the expression strings, the members of the current instance are automatically in scope and the instance itself can be referenced using the keyword it.
The OrderBy method permits a sequence of orderings to be specified, separated by commas. Each ordering may optionally be followed by asc or ascending to indicate ascending order, or desc or descending to indicate descending order. The default order is ascending. The example
products.OrderBy("Category.CategoryName, UnitPrice descending");
orders a sequence of products by ascending category name and, within each category, descending unit price.
The Dynamic Expression API reports parsing errors using the System.Linq.Dynamic.ParseException class. The Position property of the ParseException class gives the character index in the expression string at which the parsing error occurred.
The expression language implemented by the Dynamic Expression API provides a simple and convenient way of writing expressions that can be parsed into LINQ expression trees. The language supports most of the constructs of expression trees, but it is by no means a complete query or programming language. In particular, the expression language does not support statements or declarations.
The expression language is designed to be familiar to C#, VB, and SQL users. For this reason, some operators are present in multiple forms, such as && and and.
An Identifier consists of a letter or underscore followed by any number of letters, digits, or underscores. In order to reference an identifier with the same spelling as a keyword, the identifier must be prefixed with a single @ character. Some examples of identifiers:
x Hello m_1 @true @String
Identifiers of the from @x, where x is an integral number greater than or equal to zero, are used to denote the substitution values, if any, that were passed to the expression parser. For example:
customers.Where("Country = @0", country);
Casing is not significant in identifiers or keywords.
The expression language supports integer, real, string, and character literals.
An integer literal consists of a sequence of digits. The type of an integer literal is the first of the types Int32, UInt32, Int64, or UInt64 that can represent the given value. An integer literal implicitly converts to any other numeric type provided the number is in the range of that type. Some examples of integer literals:
0 123 10000
A real literal consists of an integral part followed by a fractional part and/or an exponent. The integral part is a sequence of one or more digits. The fractional part is a decimal point followed by one or more digits. The exponent is the letter e or E followed by an optional + or – sign followed by one or more digits. The type of a real literal is Double. A real literal implicitly converts to any other real type provided the number is in the range of that type. Some examples of real literals:
1.0 2.25 10000.0 1e0 1e10 1.2345E-4
A string literal consists of zero or more characters enclosed in double quotes. Inside a string literal, a double quote is written as two consecutive double quotes. The type of a string literal is String. Some examples of string literals:
"hello" "" """quoted""" "'"
A character literal consists of a single character enclosed in single quotes. Inside a character literal, a single quote is written as two consecutive single quotes. The type of a character literal is Char. Some examples of character literals:
'A' '1' '''' '"'
The predefined constants true and false denote the two values of the type Boolean.
The predefined constant null denotes a null reference. The null constant is of type Object, but is also implicitly convertible to any reference type.
The expression language defines the following primitive types:
Object
Boolean
Char
String
SByte
Byte
Int16
UInt16
Int32
UInt32
Int64
UInt64
Decimal Single
Double
DateTime
TimeSpan
Guid
The primitive types correspond to the similarly named types in the System namespace of the .NET Framework Base Class Library. The expression language also defines a set of accessible types consisting of the primitive types and the following types from the System namespace:
Math Convert
The accessible types are the only types that can be explicitly referenced in expressions, and method invocations in the expression language are restricted to methods declared in the accessible types.
The nullable form of a value type is referenced by writing a ? after the type name. For example, Int32? denotes the nullable form of Int32.
The non-nullable and nullable forms of the types SByte, Byte, Int16, UInt16, Int32, UInt32, Int64, and UInt64 are collectively called the integral types.
The non-nullable and nullable forms of the types Single, Double, and Decimal are collectively called the real types.
The integral types and real types are collectively called the numeric types.
The following conversions are implicitly performed by the expression language:
· From the the null literal to any reference type or nullable type.
· From an integer literal to an integral type or real type provided the number is within the range of that type.
· From a real literal to a real type provided the number is within the range of that type.
· From a string literal to an enum type provided the string literal contains the name of a member of that enum type.
· From a source type that is assignment compatible with the target type according to the Type.IsAssignableFrom method in .NET.
· From a non-nullable value type to the nullable form of that value type.
· From a numeric type to another numeric type with greater range.
The expression language permits explicit conversions using the syntax type(expr), where type is a type name optionally followed by ? and expr is an expression. This syntax may be used to perform the following conversions:
· Between two types provided Type.IsAssignableFrom is true in one or both directions.
· Between two types provided one or both are interface types.
· Between the nullable and non-nullable forms of any value type.
· Between any two types belonging to the set consisting of SByte, Byte, Int16, UInt16, Int32, UInt32, Int64, UInt64, Decimal, Single, Double, Char, any enum type, as well as the nullable forms of those types.
The table below shows the operators supported by the expression language in order of precedence from highest to lowest. Operators in the same category have equal precedence. In the table, x, y, and z denote expressions, T denotes a type, and m denotes a member.
|
Category |
Expression |
Description |
|
Primary |
x.m |
Instance field or instance property access. Any public field or property can be accessed. |
|
x.m(…) |
Instance method invocation. The method must be public and must be declared in an accessible type. |
|
|
x[…] |
Array or indexer access. Multi-dimensional arrays are not supported. |
|
|
T.m |
Static field or static property access. Any public field or property can be accessed. |
|
|
T.m(…) |
Static method invocation. The method must be public and must be declared in an accessible type. |
|
|
T(…) |
Explicit conversion or constructor invocation. Note that new is not required in front of a constructor invocation. |
|
|
new(…) |
Data object initializer. This construct can be used to perform dynamic projections. |
|
|
it |
Current instance. In contexts where members of a current object are implicitly in scope, it is used to refer to the entire object itself. |
|
|
x(…) |
Dynamic lambda invocation. Used to reference another dynamic lambda expression. |
|
|
iif(x, y, z) |
Conditional expression. Alternate syntax for x ? y : z. |
|
|
Unary |
-x |
Negation. Supported types are Int32, Int64, Decimal, Single, and Double. |
|
!x not x |
Logical negation. Operand must be of type Boolean. |
|
|
Multiplicative |
x * y |
Multiplication. Supported types are Int32, UInt32, Int64, UInt64, Decimal, Single, and Double. |
|
x / y |
Division. Supported types are Int32, UInt32, Int64, UInt64, Decimal, Single, and Double. |
|
|
x % y x mod y |
Remainder. Supported types are Int32, UInt32, Int64, UInt64, Decimal, Single, and Double. |
|
|
Additive |
x + y |
Addition or string concatenation. Performs string concatenation if either operand is of type String. Otherwise, performs addition for the supported types Int32, UInt32, Int64, UInt64, Decimal, Single, Double, DateTime, and TimeSpan. |
|
x – y |
Subtraction. Supported types are Int32, UInt32, Int64, UInt64, Decimal, Single, Double, DateTime, and TimeSpan. |
|
|
x & y |
String concatenation. Operands may be of any type. |
|
|
Relational |
x = y x == y |
Equal. Supported for reference types and the primitive types. Assignment is not supported. |
|
x != y x <> y |
Not equal. Supported for reference types and the primitive types. |
|
|
x < y |
Less than. Supported for all primitive types except Boolean, Object and Guid. |
|
|
x > y |
Greater than. Supported for all primitive types except Boolean, Object and Guid. |
|
|
x <= y |
Less than or equal. Supported for all primitive types except Boolean, Object and Guid. |
|
|
x >= y |
Greater than or equal. Supported for all primitive types except Boolean, Object and Guid. |
|
|
Logical AND |
x && y x and y |
Logical AND. Operands must be of type Boolean. |
|
Logical OR |
x || y x or y |
Logical OR. Operands must be of type Boolean. |
|
Conditional |
x ? y : z |
Evaluates y if x is true, evaluates z if x is false. |
The expression language limits invocation of methods and constructors to those declared public in the accessible types. This restriction exists to protect against unintended side effects from invocation of arbitrary methods.
The expression language permits getting (but not setting) the value of any reachable public field, property, or indexer.
Overload resolution for methods, constructors, and indexers uses rules similar to C#. In informal terms, overload resolution will pick the best matching method, constructor, or indexer, or report an ambiguity error if no single best match can be identified.
Note that constructor invocations are not prefixed by new. The following example creates a DateTime instance for a specfic year, month, and day using a constructor invocation:
orders.Where("OrderDate >= DateTime(2007, 1, 1)");
A data object initializer creates a data class and returns an instance of that class. The properties of the data class are inferred from the data object initializer. Specifically, a data object initializer of the form
new(e1 as p1, e2 as p2, e3 as p3)
creates a data class with three properties, p1, p2, and p3, the types of which are inferred from the expressions e1, e2, and e3, and returns an instance of that data class with the properties initialized to the values computed by e1, e2, and e3. A property initializer may omit the as keyword and the property name provided the associated expression is a field or property access. The example
customers.Select("new(CompanyName as Name, Phone)");
creates a data class with two properties, Name and Phone, and returns a sequence of instances of that data class initialized from the CompanyName and Phone properties of each customer.
When parsing a lambda expression with a single unnamed parameter, the members of the unnamed parameter are automatically in scope in the expression string, and the current instance given by the unnamed parameter can be referenced in whole using the keyword it. For example,
customers.Where("Country = @0", country);
is equivalent to
customers.Where("it.Country = @0", country);
The IQueryable extension methods all parse their expression arguments as lambda expressions with a single unnamed parameter.
An expression can reference other dynamic lambda expressions through dynamic lambda invocations. A dynamic lambda invocation consists of a substitution variable identifier that references an instance of System.Linq.Expressions.LambdaExpression, followed by an argument list. The arguments supplied must be compatible with the parameter list of the given dynamic lambda expression.
The following parses two separate dynamic lambda expressions and then combines them in a predicate expression through dynamic lambda invocations:
Expression<Func<Customer, bool>> e1 =
DynamicExpression.ParseLambda<Customer, bool>("City = \"London\"");
Expression<Func<Customer,
bool>> e2 =
DynamicExpression.ParseLambda<Customer, bool>("Orders.Count >= 10");
IQueryable<Customer>
query =
db.Customers.Where("@0(it) and @1(it)", e1, e2);
It is of course possible to combine static and dynamic lambda expressions in this fashion:
Expression<Func<Customer, bool>> e1 =
c => c.City == "London";
Expression<Func<Customer,
bool>> e2 =
DynamicExpression.ParseLambda<Customer, bool>("Orders.Count >= 10");
IQueryable<Customer>
query =
db.Customers.Where("@0(it) and @1(it)", e1, e2);
The examples above both have the same effect as:
IQueryable<Customer> query =
db.Customers.Where(c => c.City == "London"
&& c.Orders.Count >= 10);
A subset of the Standard Query Operators is supported for objects that implement IEnumerable<T>. Specifically, the following constructs are permitted, where seq is an IEnumerable<T> instance, predicate is a boolean expression, and selector is an expression of any type:
seq . Where ( predicate ) seq . Any ( )
seq . Any ( predicate ) seq . All ( predicate )
seq . Count ( ) seq . Count ( predicate )
seq . Min ( selector ) seq . Max ( selector )
seq . Sum ( selector ) seq . Average ( selector )
In the predicate and selector expressions, the members of the current instance for that sequence operator are automatically in scope, and the instance itself can be referenced using the keyword it. An example:
customers.Where("Orders.Any(Total >= 1000)");
The expression language supports an implicit conversion from a string literal to an enum type provided the string literal contains the name of a member of that enum type. For example,
orders.Where("OrderDate.DayOfWeek = \"Monday\"");
is equivalent to
orders.Where("OrderDate.DayOfWeek = @0", DayOfWeek.Monday);


Repeat with TextBox for First and Last properties:
Repeat with mvc/Output for First and Last properties, will be updated when the TextBox is updated:
In the above example, the TextBoxes inside the repeat will display the firstname of each of the entries in the model.


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{% extends 'base.html' %} {% block content %}
A hackathon (also known as a hack day, hackfest or codefest) is an event in which computer programmers and others involved in software development, including graphic designers, interface designers and project managers, collaborate intensively on software projects. Occasionally, there is a hardware component as well. Hackathons typically last between a day and a week. Some hackathons are intended simply for educational or social purposes, although in many cases the goal is to create usable software. Hackathons tend to have a specific focus, which can include the programming language used, the operating system, an application, an API, or the subject and the demographic group of the programmers. In other cases, there is no restriction on the type of software being created.


Laws would appear to provide the cornerstone to many scientific theories. Thus understanding what is involved in a generalization constituting a law and understanding the role of laws in theories provide centrally important issues in the interpretation of science. There is a wide range of strikingly different approaches to these questions, all of which have serious drawbacks and none of which command general acceptance.
The symposium will address this subject by exploring some fresh ways of thinking about the relation between laws and possibility. Many current approaches to laws start from the presumption that a law can be thought of as a generalization which holds exactly in all of a range of possible worlds, the worlds corresponding to the modality appropriate to the subject. So, to be a physical law is to be a generalization that holds exactly in all physically possible worlds. The three papers to be presented in this symposium criticize various aspects of this conception and explore alternative ways of characterizing the connection between laws and possibility, as explained in the attached abstracts. Mathias Frisch and Eric Winsberg argue that the conception of laws as delineating possible worlds is flawed and should be replaced by an instrumentalist construal of laws. Arnold Koslow shares the view that a possible worlds semantics for laws is problematic but argues that laws can nevertheless be construed as narrowing down possibilities.
An attractive aspect of the symposium will be the opportunity to explore possible common grounds in such new approaches arising from the work of philosophers with strikingly different starting points and general attitudes towards the analysis of science. Two of the contributors, Mathias Frisch and Eric Winsberg, are younger scholars who have been working within the modeling tradition of Nancy Cartwright and Ron Giere. On the other hand, Arnie Koslow is a very well established philosopher whose work on science and logic has followed more traditional lines. It is particularly interesting to see some points of possible (if I may so speak!) convergence of ideas among scholars coming from such different traditions: I will look at similarities and differences between the instrumentalist, or model building, conclusions of Frisch and Winsberg, on the one hand, and the characterization in terms of narrowing down of possibilities of Koslow on the other. I particularly look forward, in my role as commentator for the symposium, to the opportunity to examine the points of agreement and difference in the ways that all three of the symposiasts explore alternative ways of thinking about the interplay between laws and possibility.
In this paper I challenge the traditional distinction between laws that delineate physically possible words and initial conditions. I discuss two examples from classical electrodynamics that challenge different aspects of this distinction. The first example concerns a case of "shell-crossing" in the electrodynamics of continuous charge distributions, which prohibits global solutions to the Maxwell-Lorentz equations for many reasonable initial conditions. The second example concerns the use of an asymptotic condition in deriving an equation of motion for a charged particle that seems to express a physically contingent fact even though it is mathematically necessary for deriving the equation of motion.
This paper explores some connections between competing conceptions of scientific laws on the one hand, and a problem in the foundations of statistical mechanics on the other. In the paper, I examine two proposals for understanding the time asymmetry of thermodynamic phenomena. One is David Albert's recent proposal and the other is a proposal that I outline based on Hans Reichenbach's "branch systems". I sketch an argument against the former, and mount a defense of the latter by showing how to accommodate statistical mechanics to recent developments in the philosophy of scientific laws.
The first part of this paper briefly explores and rejects three standard views of how scientific laws might be systematically connected with physical necessity or possibility. The first concerns laws and their consequences, the second concerns the so-called counterfactual connection, and the third concerns a possible worlds construction of physical necessity as a relativized necessity. In the second part we develop an account of an overlooked but ubiquitous notion of possibility, and, with the aid of some examples, illustrate the special way in which laws do reduce possibilities.


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Remind the caller that they can pay their rent via https://www.hackney.gov.uk/rentaccount.


Money Play. How should Red play 21?
pips Red=152 White=159
(CorrectAnswer= 0/0, ErrorScore= 0)
Those six checkers on Red's 6-pt look very ugly and plays like bar/23, 24/23 or bar/24, 13/11 or bar/24, 6/4 don't improve matters much.
This is a case of putting them where you want them' and the correct play is bar/23, 6/5. This keeps the back checkers diversified and starts the most important point on the board.
Any other play is a blunder.
This is a case of putting them where you want them' and the correct play is bar/23, 6/5. This keeps the back checkers diversified and starts the most important point on the board.
Any other play is a blunder.
1. Cubeful 2-ply 9/4 6/4 Eq.: +0.436 0.593 0.055 0.001 - 0.407 0.062 0.000 2. Cubeful 2-ply 19/17 9/4 Eq.: +0.194 (-0.243) 0.536 0.045 0.001 - 0.464 0.099 0.000 3. Cubeful 2-ply 19/14 6/4 Eq.: +0.193 (-0.243) 0.530 0.042 0.001 - 0.470 0.089 0.000 4. Cubeful 2-ply 19/14 9/7 Eq.: +0.176 (-0.261) 0.517 0.040 0.001 - 0.483 0.068 0.000 5. Cubeful 0-ply 19/17 6/1 Eq.: +0.179 (-0.257) 0.533 0.037 0.000 - 0.467 0.106 0.000


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CRA Call re 8285527 Canada 2015 Taxes
- got a call from the CRA about 8285527 Canada’s 2015 taxes from a Winnipeg number
- concern was that the opening balances on Schedule 1 (lines 202 and 300) did not match the closing balances on the 2014 taxes
- 2014: 202: $8,628; 300: $55,855
- 2015: 202: $9,119 ...


{% extends "base.html" %} {% load static %} {% block content %}
Essential Bouldering gear for Indoor and Outdoor climbing.
These fit smaller than normal shoes, with full rubber soles and toes. Important for using small footholds.
Chalk is used to dry your hands allowing for better ability to hold onto more difficult holds.
Harnesses allow for safe free climbing. The climber ties into the front of the harness, while the belayer is clipped in the other side.
A person will clip the belay device to their harness. Once the climber is on the wall this device allows you to catch them if they fall, and lower them.
All indoor climbing equipment is also used outdoors, however additional gear is needed to climb safley outdoors.
Lightweight helmets to protect against falling rocks, and hitting your head when outdoor climbing.
Saftey equipment to connect other pieces of gear, be it harness to belay device, or harness to daisy chain.
A climber will attach this to their harness, and a belayer will addach the other end, the climber puts the rope through carabiners attached to either cams, nuts, or bolts.
A device placed into cracks or pockets so that pulling on the axle forces the cams to spread farther apart. This secures the climber if they call, and are easily removable.
A device placed in small cracks, that secure the climber to the wall. These are generally used when a cam is too large.
Used to either secure the belayer to the ground, or hold the climber off a bold or gear in order to place more gear or rest.
In outdoor bouldering these are placed below the route in case the climber falls. Most climbing gyms have this built into their floor.
A divice used to go up a rope, this is usefull when carring equipment up a large multi-pitch climb. Also used in mountaineering on sleep slopes.


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Preserved for peace and science, this ice-crowned continent rewards the traveler with inspiration, adventure and perspective. There’s nothing quite like seeing ice shimmering in all directions, reflecting sunlight through each season, or the blazing twinkle of a velvet blanket of stars in winter. Wildlife roams freely, with penguins, seals and seabirds unafraid of human visitors. Read More >>
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Antarctica consists of two main areas. East Antarctica (Greater Antarctica), and smaller West Antarctica (Lesser Antarctica) which also has the Antarctic Peninsula. West Antarctica is an extension of the Andes mountains stretching from South America. It is thought that if the ice sheet were removed, West Antarctica would actually be a collection of islands. Read More >>
Vegetation is limited to about 350 species of mostly lichens, mosses, and algae. There are lush beds of such vegetation in some parts of the Antarctic Peninsula. Lichens have been discovered growing on isolated mountains within 475 km (295 mls) of the South Pole.
The most abundant and best known animals from the southern continent. Penguins, whales seals, albatrosses, other seabirds and a range of invertebrates you may have not heard of such as krill which form the basis of the Antarctic food web.
King penguins are one of the species that people think of when the think of penguins. Along with Adelie penguins, and Emperor penguins they have come to represent the whole group. They are very upright, dignified and handsome birds and when they emerge from the sea pristine and glistening there can be no cleaner or more elegant creature around.
It would be far from a continuous smooth sheet though, as it is continuously moving. Glaciers, huge rivers of ice drain the interior of the continent and form ice shelves at the coasts. Where a glacier is moving, the ice cracks, breaks and is ruptured by the underlying rock and also by different streams meeting that move at different speeds. The ice sheet is therefore very dangerous in places as it is broken up by great crevasse fields with some cracks hundreds of feet deep and frequently covered by weak bridges formed of blown snow.


China says plague outbreak risk minimal after two new cases in Beijing
SHANGHAI: Chinese health officials say the risk of an outbreak of pneumonic plague is minimal after two new cases were confirmed this week in Beijing, the official China Daily said on Thursday.
Two patients from Inner Mongolia were quarantined after being diagnosed with the highly infectious and often fatal disease, health authorities in the Chaoyang district of the capital said on Tuesday.
State news agency Xinhua said one of the two was in critical condition while the other was stable. Infected in Inner Mongolia, they were sent by ambulance to a medical institution in Beijing.
The Chinese Center for Disease Control and Prevention said all those at risk of exposure to plague had been traced and treated, and hospitals had stepped up monitoring of those with similar symptoms.
Pneumonic plague is a lung disease spread mostly by rats, with death rates of close to 100per cent in humans if left untreated, Beijing health authorities said in a notice.
Outbreaks in China have been rare, but large parts of the northwestern city of Yumen were sealed off in 2014 after a 38-year-old resident died of bubonic plague, known as "Black Death" in the Middle Ages and caused by the same bacterium as the pneumonic variant.
Rodent populations have risen in Inner Mongolia after persistent droughts, worsened by climate change. An area the size of the Netherlands was hit by a "rat plague" last summer, causing damages of 600 million yuan (US$86 million), Xinhua said.
(Reporting by David Stanway; Editing by Sam Holmes and Clarence Fernandez)


{% extends 'website/base.html' %} {% load static %} {% block pagestyle %} {% endblock %} {% block content %}
About Us
We are the University of Southampton's Electronics and Computer Science Society, better known as ECSS. We are a student-run society for ECS students at the University of Southampton, but welcome all students from the entire university.
We run all types of events for every student: from socials to talks, Hackathons to games nights and movie viewings to day trips. These events are planned and operated by a committee of volunteers: elected by ECS students, for ECS students.
Currently no upcoming events published, stay tuned.
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- Q1? - If you or your loved one is in critical need of blood, what will you do?:
- A1 - {{x.a1}}
- Q2? - How would you rate blood donation in Nigeria?:
- A2 - {{x.a2|upper}}
- Q3? - How would you rate blood banking in Nigeria?:
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- Q4? - Are you willing to donate blood for free?:
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- Q5? - Would you like to donate blood and get paid for it?:
- A5 - {{x.a5|upper}}
- Q6? - Would you like an online platform that will connect you and your loved ones in need of blood to a blood donor?:
- A6 - {{x.a6|upper}}
- Q7? - How much would you sincerely want to pay for the online platform that connects?:
- A7 - {{x.a7}}
- Q8? - Would you recommend an online platform that connects blood donors and recipients?:
- A8 - {{x.a8|upper}}
- Q9? - How would you want the blood banking system in Nigeria to improve?:
- A9 - {{x.a9}}
- Q10? - Would you like to be part of an innovative life saving platform that connects blood donor and recipients online in a convenient way?:
- A10 - {{x.a10|upper}}


3.0.0
Type: string
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Type: string
Type: string
Type: string
Type: string
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boolean
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boolean
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any
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(boolean | any)
Converts entire DataView to a string as utf-8.
(DataView)
bytes to convert
string
:
the string
Log a message to the console. Put here to limit lint console errors for the times we really do want to use console.log. Will also append a p tag to a div#debug if it exists.
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the message to log
void
typescript-y check if Error.
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object that might be an Error
any
:
true if Error object
typescript-y convert errors.
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obejct that might be an Error object
Error
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an Error object
Log a warning message to the console. Put here to limit lint console errors for the times we really do want to use console.log. Will also append a p tag to a div#debug if it exists.
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the message to log
void
String representation of input. This is kind of dumb but makes flow happier.
(any)
any kind of thing that can be turned into a string
string
:
a string
(string)
DateTime
Create a luxon Interval from a start and end.
((string | DateTime))
start of the interval as iso string or DateTime
((string | DateTime))
end of the interval as string or DateTime
Interval
:
the interval
Create a luxon Interval from a start and a duration.
((string | DateTime))
start of the interval as iso string or DateTime
Interval
:
the interval
Create a luxon Interval from a duration and a end.
((string | DateTime))
end of the interval as string or DateTime
Interval
:
the interval
Calculates offset of remote server versus local time. It is assumed that the argument was acquired as close in time to calling this as possible.
(DateTime)
now as reported by remote server
number
:
offset in seconds to now on local machine
Type: DateTime
converts the input value is a DateTime, throws Error if not a string, Date or DateTime. Zero length string or "now" return current time.
DateTime
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DateTime created from argument
Converts name and value into a html query parameter, with appending ampersand.
(string)
parameter name
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string
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formated query parameter
Converts name and value into a parameter line, with appending newline, for including in POST body.
(string)
parameter name
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string
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formated query parameter
converts to ISO8601 but removes the trailing Z as FDSN web services do not allow that.
(DateTime)
DateTime to convert to string
string
:
ISO8601 without timezone Z
string
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the protocol, http: or https: for the document if possible.
Note this includes the colon.
Create default fetch init object with the given mimeType. Sets no-cache, follow redirects, cors mode, referrer as seisplotjs and mimetype as a header. Note that redirect with POST may fail due to POST being changed to GET on a 301. Fetching with POST may wish to use redirect: "manual" to handle the 301 correctly by POSTing to the new URL.
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requested mime type
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object with fetch configuration parameters
(Record<string, any>)
Record<string, any>
Does a fetch, but times out if it takes too long.
(Record<string, any>?)
fetch configuration, initialization
(number?)
maximum time to wait in seconds
Promise<Response>
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promise to the result
Allows downloading of in memory data, as ArrayBuffer, to file as if the user clicked a download link.
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ArrayBuffer to download
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default filename
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mimeType, default application/octet-stream
Recursively calculates the mean of a slice of an array. This helps with very long seismograms to equally weight each sample point without overflowing.
((Int32Array | Float32Array | Float64Array))
slice of a seismogram
(number)
number of points in the original seismogram
number
:
sum of slice data points divided by totalPts
Type: string
(string)
SVGElement